Evaluation of regular and decaffeinated (un)roasted coffee beans using HPLC and multivariate statistical methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F22%3A39918874" target="_blank" >RIV/00216275:25310/22:39918874 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0889157522004598" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0889157522004598</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jfca.2022.104841" target="_blank" >10.1016/j.jfca.2022.104841</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation of regular and decaffeinated (un)roasted coffee beans using HPLC and multivariate statistical methods
Original language description
This work deals with the rapid simultaneous determination of caffeine and the three most abundant chlorogenic acid isomers (3-, 4-, and 5-O-caffeoylquinic acids) present in 64 samples of regular (un)roasted and decaffeinated (un)roasted coffee beans using reversed-phase high-performance liquid chromatography with spectrophotometric detection. In the developed method, the target analytes were separated in just 6 min with a resolution higher than 1.2. Afterwards, factor analysis and principal component analysis were employed to reveal the relationships between the samples and the content of monitored compounds. The samples were successfully divided into three discrete groups (decaffeinated, roasted, and unprocessed) by these methods. Finally, the impact of sample roasting and decaffeination on the content of chlorogenic acid isomers was investigated. The decrease in 5-O-caffeoylquinic acid concentration during the decaffeination process was found not as significant as during the roasting process. Regarding caffeine isolation, dichloromethane was the best extraction solvent because it did not cause significant losses of chlorogenic acid isomers or changes in the coffee beans colour and its extraction efficiency reached 85%.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
21101 - Food and beverages
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Food Composition and Analysis
ISSN
0889-1575
e-ISSN
1096-0481
Volume of the periodical
114
Issue of the periodical within the volume
December
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
104841
UT code for WoS article
000863108700002
EID of the result in the Scopus database
2-s2.0-85136508951